공간적 자기상관성을 이용한 축구 태클 핫스팟 분석 : 2018 러시아월드컵 자료를 중심으로 (Tackle Hot-spot by Spatial Autocorrelation for Soccer: A Case Study of the 2018 World Cup in Russia)

서지정보

· 발행기관 : 한국체육과학회
· 수록지 정보 : 한국체육과학회지 / 30권 / 3호 / 1099 ~ 1109페이지
· 저자명 : 이승훈, 송주호

초록

The research purpose to find the hot-spot of tackle by incorporating spatial statistical techniques into soccer, and to identify the correlation between the regional distribution of tackle and provide basic data to reduce tactical utilization methods and potential injury risks in soccer sites. In all 64 matches of the 2018 FIFA World Cup Russia in attendance 32 teams, 2,078 tackle data were used to calculate Local Moran's I indicators, and the LISA cluster analysis was conducted to derive spatial correlation of tackle.
Studies have shown that due to the nature of tackle in football matches, there is a spatial autocorrelation (I=.641), especially in side defense areas, where tackle hot-spots are formed, cold-spot is formed in most of the attack areas, and visualized the key points and regions of tackle. This research technique is expected to be used as a statistical model and tactical basic data to capture the interdependence of tackle, and we will conduct an analysis of the causes of tackle generation by applying space error and parallax models in consideration of the regional characteristics of tackle location that occur in future soccer games.

영어초록

The research purpose to find the hot-spot of tackle by incorporating spatial statistical techniques into soccer, and to identify the correlation between the regional distribution of tackle and provide basic data to reduce tactical utilization methods and potential injury risks in soccer sites. In all 64 matches of the 2018 FIFA World Cup Russia in attendance 32 teams, 2,078 tackle data were used to calculate Local Moran's I indicators, and the LISA cluster analysis was conducted to derive spatial correlation of tackle.
Studies have shown that due to the nature of tackle in football matches, there is a spatial autocorrelation (I=.641), especially in side defense areas, where tackle hot-spots are formed, cold-spot is formed in most of the attack areas, and visualized the key points and regions of tackle. This research technique is expected to be used as a statistical model and tactical basic data to capture the interdependence of tackle, and we will conduct an analysis of the causes of tackle generation by applying space error and parallax models in consideration of the regional characteristics of tackle location that occur in future soccer games.

참고자료

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